A Comparison of Correlation Filter-Based Trackers and Struck Trackers

doi:10.1109/TCSVT.2019.2931924

	A Comparison of Correlation Filter-Based Trackers and Struck Trackers
	Wang, Jinqiao1,2 ; Zheng, Linyu1,2 ; Tang, Ming1,2 ; Feng, Jiayi3
发表期刊	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
ISSN	1051-8215
	2020-09-01
卷号	30 期号:9 页码:3106-3118
通讯作者	Wang, Jinqiao(jqwang@nlpr.ia.ac.cn)
摘要	In recent years, two types of trackers, namely correlation filter-based tracker (CF tracker) and structured output tracker (struck), have exhibited the state-of-the-art performance. However, there seems to be a lack of analytic work on their relations in the computer vision community. In this paper, we investigate two state-of-the-art CF trackers, i.e., spatial regularization discriminative correlation filter (SRDCF) and correlation filter with limited boundaries (CFLB), and struck, and reveal their relations. Specifically, after extending the CFLB to its multiple channel versions, we prove the relation between SRDCF and CFLB on the condition that the spatial regularization factor of SRDCF is replaced by the masking matrix of CFLB. We also prove the asymptotical approximate relation between SRDCF and struck on the conditions that the spatial regularization factor of SRDCF is replaced by an indicator function of object bounding box, the weights of SRDCF in its loss item are replaced by those of struck, the linear kernel is employed by struck, and the search region tends to infinity. The extensive experiments on public benchmarks OTB50 and OTB100 are conducted to verify our theoretical results. Moreover, we explain how detailed differences among SRDCF, CFLB, and Struck would give rise to slightly different performances on visual sequences.
关键词	Correlation Target tracking Kernel Support vector machines Training Optimization Discrete Fourier transforms Visual tracking correlation filters structured output SVM tracker struck ranking SVM tracker
DOI	10.1109/TCSVT.2019.2931924
关键词[WOS]	OBJECT TRACKING ; VISUAL TRACKING
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of China[61772527]
项目资助者	Natural Science Foundation of China
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000567499300025
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	目标检测、跟踪与识别
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/41954
专题	紫东太初大模型研究中心_图像与视频分析
通讯作者	Wang, Jinqiao
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Microsoft Search Technol Ctr Asia STCA, Beijing, Peoples R China
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Wang, Jinqiao,Zheng, Linyu,Tang, Ming,et al. A Comparison of Correlation Filter-Based Trackers and Struck Trackers[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2020,30(9):3106-3118.
APA	Wang, Jinqiao,Zheng, Linyu,Tang, Ming,&Feng, Jiayi.(2020).A Comparison of Correlation Filter-Based Trackers and Struck Trackers.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,30(9),3106-3118.
MLA	Wang, Jinqiao,et al."A Comparison of Correlation Filter-Based Trackers and Struck Trackers".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 30.9(2020):3106-3118.